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  1. 1

    Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid by Yang, Yuan-Chi, Al-Garadi, Mohammed Ali, Bremer, Whitney, Zhu, Jane M, Grande, David, Sarker, Abeed

    ISSN: 1438-8871, 1439-4456, 1438-8871
    Published: Canada Gunther Eysenbach MD MPH, Associate Professor 03.05.2021
    Published in Journal of medical Internet research (03.05.2021)
    “… We collected data from Twitter in two ways: via the public streaming application programming interface using Medicaid-related keywords (Corpus 1…”
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    Journal Article
  2. 2

    Automatic thesaurus development: Term extraction from title metadata by Wang, Jun

    ISSN: 1532-2882, 1532-2890
    Published: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.05.2006
    “… for enhancing its retrieval capability. The author describes an automated process of adding new terms to thesauri as entry vocabulary by analyzing the association between words/phrases extracted from bibliographic titles and subject…”
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  3. 3

    Improving a family of Darboux methods for rational second order ordinary differential equations by Avellar, J., Duarte, L.G.S., da Mota, L.A.C.P.

    ISSN: 0010-4655, 1879-2944
    Published: Elsevier B.V 01.10.2015
    Published in Computer physics communications (01.10.2015)
    “… (first and second order). As we have extensively mentioned, while working in the Darboux type methods, the most costly step of our methods and algorithms of solution is the determination of Darboux polynomials…”
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  4. 4

    Development and Evaluation of Hourly and Kilometer Resolution Retrospective and Real-Time Surface Meteorological Blended Forcing Dataset (SMBFD) in China by Han, Shuai, Shi, Chunxiang, Xu, Bin, Sun, Shuai, Zhang, Tao, Jiang, Lipeng, Liang, Xiao

    ISSN: 2095-6037, 2198-0934
    Published: Beijing The Chinese Meteorological Society 01.12.2019
    Published in Journal of Meteorological Research (01.12.2019)
    “…A real-time, long-term surface meteorological blended forcing dataset (SMBFD) has been developed based on station observations, satellite retrievals, and reanalysis products in China…”
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    Journal Article